With increased generation of high-resolution sequence-based “Omics” data, detecting statistically significant effects at different genomic locations and scales has become key to addressing several scientific questions. IWTomics is an R/Bioconductor package (integrated in Galaxy) that, exploiting sophisticated Functional Data Analysis techniques (i.e. statistical techniques that deal with the analysis of curves), allows users to pre-process, visualize and test these data at multiple locations and scales. The package provides a friendly, flexible and complete workflow that can be employed in many genomic and epigenomic applications.
Cremona, M. A., Pini, A., Cumbo, F., Makova, K. D., Chiaromonte, F., Vantini, S., IWTomics: testing high-resolution sequence-based "Omics" data at multiple locations and scales, <<BIOINFORMATICS>>, 2018; 34 (13): 2289-2291. [doi:10.1093/bioinformatics/bty090] [http://hdl.handle.net/10807/119805]
IWTomics: testing high-resolution sequence-based "Omics" data at multiple locations and scales
Pini, Alessia;
2018
Abstract
With increased generation of high-resolution sequence-based “Omics” data, detecting statistically significant effects at different genomic locations and scales has become key to addressing several scientific questions. IWTomics is an R/Bioconductor package (integrated in Galaxy) that, exploiting sophisticated Functional Data Analysis techniques (i.e. statistical techniques that deal with the analysis of curves), allows users to pre-process, visualize and test these data at multiple locations and scales. The package provides a friendly, flexible and complete workflow that can be employed in many genomic and epigenomic applications.File | Dimensione | Formato | |
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